To continue #FeatureEngineering topic:
Understanding Feature Engineering (Part 1)βββContinuous Numeric Data
Link: https://towardsdatascience.com/understanding-feature-engineering-part-1-continuous-numeric-data-da4e47099a7b
#Statistics #novice
Understanding Feature Engineering (Part 1)βββContinuous Numeric Data
Link: https://towardsdatascience.com/understanding-feature-engineering-part-1-continuous-numeric-data-da4e47099a7b
#Statistics #novice
Medium
Continuous Numeric Data
Strategies for working with continuous, numerical data
Great example on how different approach to feature encoding can influence the results.
Mean (likelihood) encoding for categorical variables with high cardinality and feature interactions: a comprehensive study with Python
Link: https://www.kaggle.com/vprokopev/mean-likelihood-encodings-a-comprehensive-study
#FeatureEngineering #FeactureEncoding #Kaggle
Mean (likelihood) encoding for categorical variables with high cardinality and feature interactions: a comprehensive study with Python
Link: https://www.kaggle.com/vprokopev/mean-likelihood-encodings-a-comprehensive-study
#FeatureEngineering #FeactureEncoding #Kaggle